Name：Gu Yue
Title：Associate Professor
Type of tutor：Master's supervisor
Email：guyue@email.tjut.edu.cn
Address：7-314A
I am currently a Lecturer in the School of Computer Science and Engineering at Tianjin University of Technology. I received the BEng degree in measurement and control technology and instrument from Yanshan University, China, in 2011, the PhD degree in automation from Yanshan University, China, in 2017. My current research interests include EEG and fNIRS signal processing, brain-computer interface (BCI), and pattern recognition.
EEG and fNIRS signal processing
Brain-computer interface (BCI)
Pattern recognition
1. “Neurovascular coupling analysis in children with attention deficit hyperactivity disorder based on EEG-fNIRS”, National Natural Science Foundation of China (PI), 2019.01-2021.12
2. “Research on intelligent recognition of Alzheimer's disease based on multi-source feature fusion of EEG and fNIRS data”, Natural Science Foundation of Tianjin City (PI) ，2021.10-2023.09
3. “Research and development of portable anti-tumor equipment utilizing percutaneous alternating electric field stimulation”, Science and Technology Program of Hebei Province，2025.09-2027.12
[1]Yue Gu, Pengcheng Luo, Rui Su, Xiaoli Li. LARSNet: A Lightweight Asymmetric Residual Siamese Network for SSVEP-Based Brain–Computer Interfaces. IEEE Transactions on Instrumentation and Measurement, 2026, 75: 1-14.
[2] Yue Gu, Shuo Miao, Yao Zhang, Jian Yang, Xiaoli Li, Compressibility Analysis of Functional Near-Infrared Spectroscopy Signals in Children With Attention-Deficit/Hyperactivity Disorder, IEEE Journal of Biomedical and Health Informatics, 2023, 27(11): 5449 - 5458.
[3] Yue Gu, Xue Li, Shengyong Chen, Xiaoli Li, Effect of rhythmic and non-rhythmic brain activity on power spectral analysis in children with attention deficit hyperactivity disorder, IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 1046-1053.
[4] Yue Gu, Shuo Miao, Jian Yang and Xiaoli Li, ADHD Children Identification With Multiview Feature Fusion of fNIRS Signals, IEEE Sensors Journal, 2022, 22(13): 13536-13543.
[5] Yue Gu, Liu Yang, Wenzheng Liu, Xiaoli Li, Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study, Brain Sciences, 2022; 12(7):862.
[6] Yue Gu, Xue Li, Shengyong Chen, Xiaoli Li, AOAR: An automatic ocular artifacts removal approach for multi-channel EEG data based on NMF and EMD. Journal of Neural Engineering, 2021, 18(5): 056012.
[7] Yue Gu, Shuo Miao, Junxia Han, Zhenhu Liang, Gaoxiang Ouyang, Jian Yang, Xiaoli Li, Identifying ADHD children using hemodynamic responses during a working memory task measured by functional near-infrared spectroscopy. Journal of Neural Engineering, 2018, 15(3): 035005.
[8] Yue Gu, Shuo Miao, Junxia Han, Zeng Ke, Gaoxiang Ouyang, Jian Yang, Xiaoli Li, Complexity analysis of fNIRS signals in ADHD children during working memory task, Scientific Reports, 2017, 7(1): 829.
[9] Yue Gu, Junxia Han, Zhenhu Liang, Jiaqing Yan, Zheng Li, Xiaoli Li, Empirical mode decomposition-based motion artifact correction method for functional near-infrared spectroscopy, Journal of Biomedical Optics, 2016, 21(1): 15002.
[10] Yue Gu, Zhenhu Liang, Satoshi Hagihira, Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia, Sensors, 2019, 19 (11): 2499.
[11] 刘文正, 张昊, 杨柳, 古悦, 基于脑电图与功能近红外成像的工作记忆神经血管耦合分析. 生物医学工程学杂志, 2022, 39(2): 228-236.
[12] Jing Wang#, Yue Gu#, Wentian Dong, et al, Lower Small-Worldness of Intrinsic Brain Networks Facilitates the Cognitive Protection of Intellectual Engagement in Elderly People Without Dementia: A Near-Infrared Spectroscopy Study, American Journal of Geriatric Psychiatry, 2020, 28(7): 722-731.
Web design and programming
Selected for the Tianjin University "Young Reserve Talent Training Program"
Reviewer for IEEE JBHI, Sensors Journal, Neural Networks, Information Fusion and Journal of Neural Engeneering etc.
